Approach speech processing recognition di patil pramod (2 risultati)

Autore: 
Titolo: 
Perfeziona con la Ricerca avanzata

Perfeziona la tua ricerca

  • Libri (2)

  • Nuovo (2)

a

Fascia di prezzo personalizzata (EUR)

a

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2020

    6200531625 / 9786200531629

    • Brossura

    Da: preigu, Osnabrück, Germaniapreigu

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 39,45

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Approach to Speech Processing | Speech Recognition by Feature Extraction | Pramod Patil | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200531629 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2020

    6200531625 / 9786200531629

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 44,43

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial neural network based speech recognition by feature extraction analysisSpeech recognition by machine is a critical core technology for the 'information' age. Existing machine recognition systems do not work the way human work. This is because automatic speech recognition (ASR) machines use spectral templates, while human work with partial recognition information across frequency, probably in the form of speech features that are local in frequency (e.g., formants). The forcing partial recognition errors in one frequency region do not affect the partial recognition at other frequencies (i.e., the partial recognition errors across frequency are independent). To extract the features spread across frequency requires frequency-local signal processing. Although a great deal has been learned, the fundamental process of speech production and speech perception, the goal of recognition of fluent speech remains elusive. The fundamental function of a speech recognition system is to identify trial speech utterances belonging to a given vocabulary with the highest possible degree, while rejecting those utterances that do not belong to the vocabulary.…